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lstms

Here are 41 public repositories matching this topic...

curiousily / Deep-Learning-For-Hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

python machine-learning deep-learning sentiment-analysis tensorflow keras artificial-intelligence neural-networks object-detection jupyter-notebooks autoencoders tensorflow-tutorial bert image-augmentation anomaly-detection time-series-classification time-series-forecasting lstms intent-recognition

Updated
Jupyter Notebook

ArrasL / LRP_for_LSTM

Layer-wise Relevance Propagation (LRP) for LSTMs.

recurrent-neural-networks interpretability xai lstms

Updated
Python

👁 Vehicle_Collision_Prediction_Using_CNN-LSTMs

perseus784 / Vehicle_Collision_Prediction_Using_CNN-LSTMs

Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.

python tensorflow cnn collision-detection lstm action-recognition tensorflow-examples carla cnn-lstm lstms scene-understanding carla-simulator time-distributed image-series-prediction autopilot-script vehicle-collision-prediction

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Python

dido1998 / Recurrent-Independent-Mechanisms

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

deep-learning pytorch recurrent-networks attention rim generalization lstms grus

Updated
Python

crypto-code / Stock-Market

Stock Market Prediction & Trading Bot using AI

agent neural-network trading-bot stock-market prediction-algorithm lstms

Updated
Python

MrinmoiHossain / Udacity-Deep-Learning-Nanodegree

The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.

nlp machine-learning udacity deep-learning sentiment-analysis neural-network pytorch recurrent-neural-networks generative-adversarial-network style-transfer rnn nanodegree convolutional-networks convolutional-neural-networks transfer-learning gans udacity-nanodegree long-short-term-memory-models lstms

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Jupyter Notebook

AryanNanda17 / NonStop-Lofi-Vibe-Generator

threejs machine-learning ai deep-learning hacktoberfest mern-stack lstms vaes music-experience

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JavaScript

NotVinay / karaokey

Karaokey is a vocal remover that automatically separates the vocals and instruments. A deep learning model based on LSTMs has been trained to tackle the source separation. The model learns the particularities of music signals through its temporal structure.

flask machine-learning recurrent-neural-networks lstm karaoke audio-processing source-separation lstms pytroch audio-source-separation music-separation pytorch-rnn pytorch-lstm karaoke-maker

Updated
Python

nla-group / ABBA-LSTM

time-series-forecasting lstms

Updated
Python

kyegomez / VortexFusion

Transformers + Mambas + LSTMS All in One Model

ai deep-learning ml transformers ssms agora lstms ai-research multi-modality mambas

Updated
Python

aju22 / Real-Time-ISL-Translation

Uses deep learning to translate Indian Sign Language in real-time

computer-vision deep-learning convolutional-neural-networks gesture-recognition sign-language-recognition lstms

Updated
Python

lanl / clarm

Conditional Latent Autoregressive Recurrent Model for spatiotemporal learning

forecasting cvae accelerator-physics lstms spatiotemporal-analysis autoregressive-modeling generative-ai

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Python

mahindrautela / CLARM

Conditional Latent Autoregressive Recurrent Model (CLARM) for learning spatiotemporal dynamics

forecasting conditional-vae accelerator-physics lstms spatiotemporal-data autoregressive-model generative-ai

Updated

RemeAjayi / ds-job-detective

Text Extraction with POS Tagging and Deep Learning(LSTMs)

python deep-learning tensorflow postagging lstms

Updated
Jupyter Notebook

RhuthuHegde / Tensorflow-coursera

These are the notebook assignments from the deeplearning.ai Tensorflow course on coursera.

machine-learning natural-language-processing deep-learning recurrent-neural-networks tensorflow-tutorials convolutional-neural-networks lstms

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Jupyter Notebook

saqib1707 / MultiAgent-Pursuer-Evader-Problem

This repository contains the work done as part of my B.Tech Project

deep-learning optimization control-systems shepherding optimal-trajectories swarm-robotics lstms non-convex-optimization pursuer-evader

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Python

FelixSchuermann / speechenhancement-masterthesis

masters thesis on deep learning methods for speech enhancement

deep-learning thesis fft librosa speech-enhancement lstms pesq

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Python

ChinmayMittal / ELL881

Course Repository for ELL881 (Special Topics:Modern Natural Language Processing), 6th Semester, 2023, IITD

nlp ner bert kneser-ney-smoothing lstms good-turing-smoothing smoothing-methods

Updated
Jupyter Notebook

aak-ash / Sentimental-Analysis

Sentimental Analysis of Movie Reviews Using Pytorch

natural-language-processing pytorch lstms

Updated
Python

JekyllAndHyde8999 / Kaggle-Submissions

This repo contains all of my submissions to Kaggle competitions or datasets

sentiment-analysis sklearn imdb kaggle mnist-classification decision-tree-classifier binary-classification lstm-neural-networks keras-tensorflow titanic-survival-prediction cnn-classification lenet-5 lstms

Updated
Jupyter Notebook

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